TY - JOUR
T1 - Gait variability in people with neurological disorders
T2 - A systematic review and meta-analysis
AU - Moon, Yaejin
AU - Sung, Jong Hun
AU - An, Ruopeng
AU - Hernandez, Manuel E.
AU - Sosnoff, Jacob J.
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - There has been growing evidence showing gait variability provides unique information about gait characteristics in neurological disorders. This study systemically reviewed and quantitatively synthesized (via meta-analysis) existing evidence on gait variability in various neurological diseases, including Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), cerebellar ataxia (CA), Huntington's disease (HD), multiple sclerosis (MS), and Parkinson's disease (PD). Keyword search were conducted in PubMed, Web of science, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Library. Meta-analysis was performed to estimate the pooled effect size for gait variability for each neurological group. Meta-regression was performed to compare gait variability across multiple groups with neurological diseases. Gait variability of 777 patients with AD, ALS, CA, HD, MS, or PD participating in 25 studies was included in meta-analysis. All pathological groups had increased amount of gait variability and loss of fractal structure of gait dynamics compared to healthy controls, and gait variability differentiated distinctive neurological conditions. The HD groups had the highest alterations in gait variability among all pathological groups, whereas the PD, AD and MS groups had the lowest. Interventions that aim to improve gait function in patients with neurological disorders should consider the heterogeneous relationship between gait variability and neurological conditions.
AB - There has been growing evidence showing gait variability provides unique information about gait characteristics in neurological disorders. This study systemically reviewed and quantitatively synthesized (via meta-analysis) existing evidence on gait variability in various neurological diseases, including Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), cerebellar ataxia (CA), Huntington's disease (HD), multiple sclerosis (MS), and Parkinson's disease (PD). Keyword search were conducted in PubMed, Web of science, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Library. Meta-analysis was performed to estimate the pooled effect size for gait variability for each neurological group. Meta-regression was performed to compare gait variability across multiple groups with neurological diseases. Gait variability of 777 patients with AD, ALS, CA, HD, MS, or PD participating in 25 studies was included in meta-analysis. All pathological groups had increased amount of gait variability and loss of fractal structure of gait dynamics compared to healthy controls, and gait variability differentiated distinctive neurological conditions. The HD groups had the highest alterations in gait variability among all pathological groups, whereas the PD, AD and MS groups had the lowest. Interventions that aim to improve gait function in patients with neurological disorders should consider the heterogeneous relationship between gait variability and neurological conditions.
KW - Gait
KW - Meta-analysis
KW - Neurological disease
KW - Systematic review
KW - Variability
UR - http://www.scopus.com/inward/record.url?scp=84961616057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961616057&partnerID=8YFLogxK
U2 - 10.1016/j.humov.2016.03.010
DO - 10.1016/j.humov.2016.03.010
M3 - Review article
C2 - 27023045
AN - SCOPUS:84961616057
SN - 0167-9457
VL - 47
SP - 197
EP - 208
JO - Human Movement Science
JF - Human Movement Science
ER -